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001			285187
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2011 xxu| o |||| 0|eng d
020			_a9781441977717 _99781441977717
024	7		_a10.1007/9781441977717 _2doi
035			_avtls000339056
039		9	_a201509030312 _bVLOAD _c201404300354 _dVLOAD _y201402060926 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQH324.2-324.25
100	1		_aForsdyke, Donald R. _eautor _9301612
245	1	0	_aEvolutionary Bioinformatics / _cby Donald R. Forsdyke.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_axxii, 509 páginas 101 ilustraciones, 17 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aPrologue -- Part 1: Information and DNA -- Memory - A Phenomenon of Arrangement -- Chargaff’s First Parity Rule -- Information Levels and Barriers -- Part 2: Parity and Non-parity -- Chargaff’s Second Parity Rule -- Stems and Loops -- Chargaff’s Cluster Rule -- Part 3: Variation and Speciation -- Mutation -- Species Survival and Arrival -- The Weak Point -- Chargaff’s GC Rule -- Homostability -- Part 4: Conflict within Genomes -- Conflict Resolution -- Exons and Introns -- Complexity -- Part 5: Conflict between Genomes -- Self/Not-self? -- The Crowded Cytosol -- Part 6: Sex and Error-correction -- Rebooting the Genome -- The Fifth Letter -- Part 7 -- Information and Mind -- Memory - What to Arrange and Where? -- Appendix 1 -- Appendix 2 -- Appendix 3 -- Index.
520			_aEvolutionary Bioinformatics aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the exciting topics of gene discovery and database-searching, such books have hardly considered genomes as information channels through which multiple forms and levels of information have passed through the generations. This "new bioinformatics," contrasts with the "old" gene-based bioinformatics that so preoccupies previous texts. Evolutionary Bioinformatics extends a line of evolutionary thought that leads from the nineteenth century (Darwin, Butler, Romanes, Bateson), through the twentieth (Goldschmidt, White), and into the twenty first (the final works of the late Stephen Jay Gould). Long an area of controversy, diverging views may now be reconciled. The book is unique in emphasising non-genic aspects of bioinformatics, and linking modern evolutionary biology to a history that extends back to the nineteenth century. Forms of information that we are familiar with (mental, textual) are related to forms we are less familiar with (hereditary).
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781441977700
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-7771-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c285187 _d285187